Automation index

How much of a Beekeeper’s job can AI already do?

A hive log comes earlier. Checking without angering them and taking honey do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

IS WORK OVER?

21%

AI can already do 21% of this job.

#421 / 653

Beekeeper

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

Task	Share	AI	Points
Check, queen and the hive log. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Honey, supers and the smoker. Estimate No public source provides a precise figure. This is our estimate.	18%	12%	+2.2
Varroa, treatments and not losing the stand. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Moving hives, bloom and the move. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
The neighbour, the sting and the field permit. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Take honey, and not leaving them without stores. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		21%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

IS WORK OVER?

19%

#554 / 653

Histology technician

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

Task	Share	AI	Points
Intake, the pot and not mixing cases. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Process, embed and the block. Estimate No public source provides a precise figure. This is our estimate.	22%	8%	+1.8
Cut, the knife and the one that falls apart. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Stain, the control and the one that will not take. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The pathologist, the rush and not sending a bad cut. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Not losing the diagnosis on the knife. Estimate No public source provides a precise figure. This is our estimate.	14%	12%	+1.7
Total	100%		19%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low